https://buyzero.de/collections/google-aiy-coral/products/aiy-maker-kit-includes-raspberry-pi-coral-usb-accelerator

Connects via USB to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10. QTS is the operating system for entry- and mid-level QNAP NAS. WIth Linux and ext4, QTS enables reliable storage for everyone with versatile value-added features and apps, such as snapshots, Plex media servers, and easy access of your personal cloud. System So, if you want high-speed ML inferencing on almost any platform, the Coral USB Accelerator is the way to go! Just plug it in, and you’re good to go! Technical specifications ML accelerator The example above uses the PyCoral API, which calls into the TensorFlow Lite Python API, but you can

Coral Dev Board

because it simplifies the amount of code you must write to run an inference. But you can build your Note: These figures measure the time required to execute the model only. It does not include the time to process input data (such as down-scaling images to fit the input tensor), which can vary between systems and applications. These tests are also performed using C++ benchmark tests, whereas our public Python benchmark scripts may be slower due to overhead from Python. Model architecture Simply connect via USB to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10 and you’re good to go! It’s a versatile little gadget that can be integrated into various setups.

The Coral USB Accelerator adds an Edge TPU coprocessor to your system, enabling high-speed machine learning inferencing on a wide range of systems, simply by connecting it to a USB port. Performs high-speed ML inferencingEasily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.